Eureka · Frontier Instruments
Regulated R&D, simplified.
Steerable AI system for getting regulated products to market faster.
Built for
The roles that bear the load of regulatory scrutiny.
Translational Scientist
Shorten the gap between discovery to development with autonomous DMTA loops and techniques that will scale.
Test Engineer
Qualify new hardware for clinic and real world trials with unprecedented rigor, faster.
Program Lead
Discover risks that can stall your program and opportunities that can uplevel it from messy R&D datasets.
Iteration loop
An intelligent system of record purpose-built for the R&D loop
Every program iterates. Eureka shows up at each step of the loop — and carries context forward between them.
Form Hypothesis or Requirement
Turn precedent from journals, guidance, registries, and your own prior work into a testable hypothesis or a defensible requirement.
Develop a Test
Draft assays and procedures grounded in the evidence and the regulations that apply.
Ideas for Next Iteration
Synthesize what worked, what did not, and what to try next — feeding back into evidence.
Analyze Readouts
Turn assay outputs into decisions, with agents that flag what only you can call.
Form Hypothesis or Requirement
Turn precedent from journals, guidance, registries, and your own prior work into a testable hypothesis or a defensible requirement.
Develop a Test
Draft assays and procedures grounded in the evidence and the regulations that apply.
Analyze Readouts
Turn assay outputs into decisions, with agents that flag what only you can call.
Ideas for Next Iteration
Synthesize what worked, what did not, and what to try next — feeding back into evidence.
In the wild
—What industry teams use Eureka for
The jobs early users bring to Eureka, each one mapped to a capability.
- Disease & target biology — Verified Evidence
- Cell-based assay design — Assay & Test Design
- Bifunctional molecule design — Verified Evidence
- In vivo model design — Assay & Test Design
- Therapeutic rationale — Verified Evidence
- DEL screening protocols — Assay & Test Design
- Antibody & reagent sourcing — Verified Evidence
- Functional immune cell assays — Assay & Test Design
Use-cases
—Where Eureka makes a difference
Process-centric R&D
Cell and gene therapy, advanced biologics. The process is the product. Eureka captures every protocol, deviation, and decision so the process is as defensible as the molecule.
Analytical Operations
Your methods are your margin. Eureka turns characterization, qualification, and transfer into reproducible, sponsor-ready evidence.
Device Verification
Every device decision must trace to a standard, predicate, or prior art. Eureka surfaces the precedent, locks it to the requirement, and carries it through to submission.
Platform
—A platform built for the way your team already works.
Industry-ready AI system
Transparent, self-verifying, consistent AI agents.
Built for organizations
Adjusts to skill levels with workflows your experts can configure.
Traceable end-to-end
Links metadata, data, and analysis you need to train proprietary models and file regulatory approvals.
Private and enterprise ready
Your data stays yours—never used for training. Built-in governance and audit trails.
Integrates with your stack
ELNs, repositories, data lakes, and business systems.
Model agnostic
A mixture of best-in-class models from multiple frontier labs, so every task gets the right tool.
Research
Where we’re focused right now.
The research that powers Eureka. Four open problems we are working on in the space where foundation models meet real scientific and regulated work.
Regulated Workflows
Cyber-physical Agents
Trustworthy Outputs
Headless Discovery
Founders
R&D that is fast, rigorous, and delightful at the same time.
Eureka is built by Frontier Instruments, a Seattle-based applied-AI lab building the AI infrastructure for physical R&D, starting with biopharma and med-tech.
Usman Anwer
Co-Founder & CEO
Founded Amazon Bedrock and AWS Industrial IoT, with hands-on experience supporting the most demanding physical R&D workloads from pharma to aerospace.
Muneeb Sultan
Co-Founder & Chief Scientist
Building AI/ML systems for drug discovery since 2012, first during a PhD in computational chemistry from Stanford, then as founding ML scientist at Insitro, and principal scientist for biologics LLMs at Absci.
Lomash Kumar
Co-Founder & CTO
Lead engineer for AWS Industrial IoT and Samsara's IoT Core, with deep expertise in distributed systems, edge analytics, and high-velocity data capture.